Modelling Operation of Service Vessels in Offshore Wind Farms Using Stochastic Activity Networks. Issue 1 (January 2014)

• Record Type: Journal Article
• Authors: Zhang, Peiqing; Dai1, Lijuan; Liu, Yiliu
• Is Part Of: Ship technology research. Volume 61:Issue 1(2014)
• Page Start: 48
• Page End: 58
• Publication Date: 2014-01
• Subjects: Offshore Wind Farm -- Maintenance Plan -- Service Vessel -- Stochastic Activity Networks; Shipbuilding -- Periodicals; 623.82072
• DOI: 10.1179/str.2014.61.1.004
• Languages: English
• ISSNs: 0937-7255

Abstract

Abstract : The complexity and uncertainty involved in current offshore wind energy projects creates a need for decision support models. By applying stochastic activity networks (SANs), this article introduces a new way to model the operation of service vessels in an offshore wind farm. The SANs enable not only building a physical composition of the offshore wind farm, but also integration of the maintenance demands from various components, maintenance planning and maintenance processes at the same time. With sufficient input data, the complete model can be used to evaluate the availability of the offshore wind farm and work load on the service vessels, subsequently to determine or improve the maintenance plan. Based on their graphical rules, the SAN models are concise and easy to understand. The established SAN models can be applied individually for the evaluation of different maintenance plans, or can also be an add-on in more comprehensive decision support models.